Design and Application of Computer Experimental Management Platform for Blended Teaching
We developed a computer experimental teaching management platform integrating online interactive exercises,automatic evaluation,personalized learning feedback and other functions that addresses the lack of learning tracking feedback and personalized guidance in the online learning component of blended teaching,as well as the lack of timely and effective guidance for students'compilation or runtime errors in most OJ(Online Judge)systems during programming experiments.The main characteristics of the platform include two points:one is the process of online learning tracking personalized feedback.Based on students'online and offline behavior data,it predicts students'future grades through big data learning,and combines visualization technology to give students regular feedback on personalized learning status,so as to achieve the purpose of early warning for both students and instructors.The second is the online automatic instant evaluation of programming questions.By detecting the compilation information and test case information of students'code,applying the editing distance,it adaptively gives the reasons for students'code errors and gives feedback guidance to help students quickly find the error location of code and modify it in a targeted way.We focus on presenting specific application cases and the effectiveness of the platform.
blended teachingautomatic code evaluationonline and offlineuniversity computer coursesvisualization
万方数据
维普
